HL-index for Hypergraph Reachability
Analysis
This paper addresses the computationally challenging problem of reachability in hypergraphs, which are crucial for modeling complex relationships beyond pairwise interactions. The introduction of the HL-index and its associated optimization techniques (covering relationship detection, neighbor-index) offers a novel approach to efficiently answer max-reachability queries. The focus on scalability and efficiency, validated by experiments on 20 datasets, makes this research significant for real-world applications.
Key Takeaways
- •Addresses the problem of reachability in hypergraphs, which are important for modeling complex relationships.
- •Introduces the HL-index, a novel vertex-to-hyperedge index for efficient max-reachability queries.
- •Employs optimization techniques like covering relationship detection and a neighbor-index to improve efficiency.
- •Demonstrates efficiency and scalability through experiments on 20 datasets.
Reference
“The paper introduces the HL-index, a compact vertex-to-hyperedge index tailored for the max-reachability problem.”